Product Manager- Data Domain (P4410)

84.51° • Cincinnati, OH

18d • $77,000 - $120,000 • Onsite

About The Position

84.51° is a retail data science, insights and media company that helps The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers. Powered by cutting-edge science, they utilize first-party retail data from over 62 million U.S. households sourced through the Kroger Plus loyalty card program. This role involves building and evolving data products that establish the foundation for scalable analytics, self-service data use, and future AI-enabled capabilities. The product professional will contribute to business outcomes by understanding customer needs, supporting clear priorities, and enabling trusted, reusable, and discoverable product capabilities. They will contribute to the product vision and serve as a connector between business, clients, stakeholders, and product teams. The role focuses on developing a clear view of how the product maps to outcomes such as revenue, KPIs, customer learnings, adoption, usability, and value to the organization.

Requirements

• 0 - 2 years of relevant experience, including internships, academic projects, or equivalent experience.
• Developing strategic and critical thinking skills.
• Visual communication and storytelling.
• Ability to work through ambiguity and changing priorities.
• Creative problem-solving and curiosity.
• Strong interpersonal and collaboration skills.
• Emerging leadership skills and the ability to motivate others through shared purpose.
• Developing business acumen and an interest in connecting product work to measurable outcomes.
• Understanding of customer value propositions and basic product positioning.
• Familiarity with customer research methods and a willingness to learn through direct user engagement.
• Familiarity with data and analysis, including basic concepts such as data quality, metadata, documentation, lineage, ownership, and discoverability.
• Exposure to developing or supporting software, platform, analytics, or data products in an agile environment with cross-functional teams.
• Exposure to product discovery, hypothesis-driven experimentation, iterative customer research, or academic and project-based equivalents, with an ability to connect work to business outcomes and learning goals.
• Ability to support stakeholder alignment on business vision and priorities and communicate context to delivery teams.
• Ability to build knowledge of and empathy for customer and user problem spaces, and to support research goals that align with business objectives.

Responsibilities

• Contributes to product portfolio strategy that balances business need, customer value, opportunity, feasibility, and achievability.
• Uses analytics, research, customer feedback, and product data to support product team decisions.
• Reframes business needs into product solutions and reusable data capabilities.
• Contributes to a shared understanding of product vision and strategy across business, clients, stakeholders, and product teams.
• Drives business value for the team by helping prioritize and order product backlog items based on the product roadmap.
• Supports effective management of the team's product backlog and helps ensure it is transparent, visible, and clearly communicated.
• Translates business needs and requirements into effective features and stories that are ready for development.
• Outlines clear acceptance criteria to communicate the definition of done, including relevant data quality and usability expectations.
• Builds and manages stakeholder relationships to support alignment and drive change.
• Develops working knowledge of quantitative and qualitative product data to inform product decisions and the roadmap.
• Develops a good understanding of the business domain, stakeholders, data, business processes, and constraints in which the product(s) operate.
• Develops an understanding of customer and user problems, how they work, and the platforms, technology, and data they use.
• Understands and communicates organizational objectives, strategies, and solution needs to help the team deliver results.
• Identifies, manages, and communicates dependencies and risks, including risks related to data quality, ownership, access, and usage.
• Contributes to understanding how the product creates value for customers and the organization.
• Contributes to product enhancements and the high-level roadmap.
• Applies business value prioritization criteria and supports continuous refinement of the prioritization approach.
• Aggregates business needs into platform and data-product capabilities.
• Defines, tracks, and uses success metrics, including measures of adoption, usability, quality, and business value.
• Demonstrates product thinking by abstracting feature requests into classes of problems.
• Develops enough technical understanding to recognize when technical choices may conflict with the product vision or customer outcomes.
• Supports the creation of extensible product and data capabilities that can serve a variety of current and future needs.
• Partners with Engineering and Architecture leads so product and technology decisions are made collaboratively.
• Builds foundational knowledge of data products, metadata, data quality, lineage, discoverability, and governance, and understands how trusted, well-documented data enables analytics and AI capabilities.
• Continuously discovers what customers and users need, including how they find, understand, access, and use data.
• Engages with clients and users to build knowledge of how the product is used, where data creates friction, and what emerging needs should inform the roadmap.
• Communicates the value proposition and helps stakeholders and the team connect product work to customer and business outcomes.
• Nurtures communication with stakeholders to help keep product strategy aligned with business priorities.
• Ensures product and value-stream messaging is communicated clearly to the product team.
• Keeps stakeholders informed of customer learnings, product data, and risks that may affect product direction.
• Articulates how the product supports business strategy and creates value for internal and external stakeholders.

Benefits

• Medical: with competitive plan designs and support for self-care, wellness and mental health.
• Dental: with in-network and out-of-network benefit.
• Vision: with in-network and out-of-network benefit.
• 401(k) with Roth option and matching contribution.
• Health Savings Account with matching contribution (requires participation in qualifying medical plan).
• AD&D and supplemental insurance options to help ensure additional protection for you.
• Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
• Paid leave for maternity, paternity and family care instances.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed